Audible, Inc.

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEThe playback team at Audible owns the core playback logic end-to-end. All our services, systems and players are invoked each time customers click play (or download a title for offline playback) to enjoy the best playback experience. Specifically we own 1) Core playback logic on players such as Android, iOS and Web, 2) Playback services related to content delivery infrastructure, security & digital rights management, and processing / synchronization of listening data across devices, 3) listening statistics that power royalties, returns, creator metrics, and more, 4) Playback metrics, insights and platform, obsessing over the core playback metrics and trends that represent the service health of Audible Playback and delivery, 5) Unified Audible Playback SDK, that can be shared with both 3P and 1P customers, 6) Player optimizations related to QoE, ABR and Quality/CDN selection across Android, iOS and web, Server optimizations to segment the customer data and tune playback parameters in real-time, 7) all of the efforts around quality of experience monitoring which enable timely, accurate and automated detection of QoS performance degradations and identify opportunities to improve playback experience, 8) automated ML based review and sentiment analysis system that will proactively analyze posts across social media feeds, customer reviews to automatically establish relational models to identify and cross correlate issues detected by tools such as Anomaly detection, and finally, 9) Driving Audible’s playback initiatives to establish faculty collaborations to advance state of the art in Internet Audio.ABOUT YOUAs an applied scientist on our team, you will wear many hats and work in a highly collaborative environment that’s more startup than big company. You'll need to tackle complex problems that span a variety of domains: Machine learning, Artificial intelligence, Natural Language processing, real-time and distributed systems and help us build services and systems from the ground up which scale and serve billions of requests per day, with obsessively high reliability and low operational overhead. You'll have an opportunity to explore, innovate, invent and simplify various Playback state-of-art services and algorithms which leverage both custom and Industry proven Machine Learning, Natural Language processing and Artificial Intelligence technologies. Your work will focus on training and evaluating models and deploying them to production where we continuously monitor and evaluate. You'll work on large engineering efforts that solve significantly complex problems facing global customers. You'll be trusted to operate with independence and are often assigned to focus on areas with significant impact on audience satisfaction. You must be equally comfortable digging in to customer requirements as you are drilling into design with development teams and developing production ready learning models. You consistently bring strong, data-driven business and technical judgment to decisions. We experiment a lot and it is a must to learn and be curios. You'll be encouraged to see the big picture, be innovative, and positively impact millions of customers.As a Senior Applied Scientist, you will...- Understand large complex use cases across the Playback org and design scalable, efficient, and automated solutions- Design, develop, and deploy state-of-art Optimization services & algorithms and novel adaptive bitrate algorithms- Partner closely with other Amazon scientists focused on streaming insights and optimization use cases - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features- Push the boundary of innovation- Mentor and grow the scientists in the team and across Amazon ABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- 5+ years of industry experience in Deep learning, Natural Language Processing/Understanding, Reinforcement learning and Speech processing- PhD in one of the following disciplines: Computer Science, Machine Learning, Statistics, Data Science, Applied Math, Operational Research or a related quantitative field- Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages- Experience in algorithm development- Depth and breadth in state-of-the-art machine learning technologies- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms- Big Data Engineering with Spark / AWS EMR & Glue ...

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEThis role sits within Audible’s Global Content Strategy team and is dedicated to unleashing the power of the spoken word through our content. We use both qualitative and quantitative methods to identify strategic opportunities for Audible to provide a differentiated offering that delights our customers. In Global Content Strategy, we develop and help execute the plans needed to make those opportunities around the world a reality by building the long-term vision for the content that Audible develops, produces, acquires, and distributes. We provide the strategic frameworks that Audible deal makers and creatives across the globe need to move fast to make it real. We seek individuals who are passionate about the evolving audio entertainment landscape and want to be part of defining the future. We’re looking for an analytical and creative thinker, with the ability to ask the right questions and develop a point of view that will influence decisions.ABOUT YOU- A data-driven strategist who will readily abandon closely held-ideas in favor of stronger evidence — constantly iterating to make our content better- An exceptional communicator with a knack for making complex topics simple, in writing, and evangelizing and inspiring people at all levels of the organization based on a shared vision- A creative thinker who has a sound ability to balance creativity with strong business judgment and analytical skills- A hands-on multitasker who can quickly change focus and balance the needs of the moment with longer-term goals, with a high tolerance for ambiguity and complexity- Resilient with a positive attitude. You exhibit integrity and an ability to follow through on commitments and deadlinesAs a Director, Global Content Strategy, you will...- Refine and support the execution of an evolving three-year global content strategy, ensuring alignment with Audible’s business growth aspirations and the delivery of unique value to both customers and creators- Partner with regional and global content leadership on a variety of key projects that span the content that Audible acquires, develops, produces, and distributes- Leverage data to build business cases and craft narratives to both assess new opportunities and inform strategic decisions that contribute to Audible’s overall success- Monitor industry dynamics and provide insights internally as a thought leader at the intersection of content, marketing and technology- Partner cross-functionally with, finance and product strategy to project the long-term financial implications of business models for Audible- Engage with legal, content acquisition and finance to review contractual terms and conditions relating to content licensing agreements across multiple content types- Collaborate with product and tech to evolve Audible’s offerings for creators- Partner with economics, analytics and finance to develop and analyze content distribution strategies to ensure our customers have the broadest selection of content available across the globeABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- 5+ years of relevant professional experience in strategy consulting, business development and/or content strategy in digital media- Proven quantitative and financial modeling skills- Bachelor's degree in Economics, Finance, Business, or related fields ...

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEAudible’s Quality Assurance organization promotes product quality, and organizational quality ownership thru well-defined measurable processes, comprehensive quality assessment and identification of risk. In addition, the organization provides tools and infrastructure needed to support agile feature delivery, improve quality and increase engineer productivity. The team includes Quality Assurance Engineers, Quality Assurance Technicians and Software Engineers working side by side with Software Development Engineers, Product Managers, User Experience, and Customer Support staff to understand features, bugs, customer usage, and technical implementation to deliver high quality products to our customers.As a Senior Quality Assurance Engineer, you will...- Drive the creation and execution of test strategy, test plans, test cases as well as utilize automated tools to optimize the STLC- Perform exploratory testing, automate repetitive tasks and work side by side with software development engineers to deliver high quality product to Audible customers- Review BRD with Product, development engineers for conformity and functionality- Design, develop, and execute automated test scripts for backend services- Conduct end-to-end testing for complex backend systems and APIs- Collaborate with development teams to understand system architecture and identify testing needs- Utilize AWS services for testing environments and deployment of test solutions- Analyze test results and provide actionable insights to improve software quality- Identify, document, and track defects using appropriate tools- Mentor junior QA engineers and contribute to team knowledge sharing- Participate in the development and maintenance of testing frameworks and tools- Continuously improve QA processes and methodologies to enhance efficiencyABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- 4+ year of experience working as a Quality Assurance Engineer or SDET- Experience with rest automation using a programming or scripting language (Java or Python preferred)- Experience owning the full test strategy through test completion for major components of a software system ...

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEAs a Software Dev Engineer II, it’s up to you to define, design and refine the tech that keeps us one step ahead of listeners. Anticipate. Innovate. Bring challenging ideas and we’ll support you with the latest tech, tools and systems that you need to succeed. You’ll be essential in ensuring the team can reach their potential; working closely with them, reviewing their work, mentoring, and supporting them to develop. Together, you’ll build and maintain our platform to bring thousands of stories to millions of listeners and unleash the power of the human voice.ABOUT THE TEAMThe Catalog Management Systems (CMS) team is responsible for the tools and systems that ingest, validate, process, and publish all of the content available on the Audible platform. Our team is building next-generation systems that will revolutionize the way Audible handles its product catalog. We are developing solutions that enable seamless, no-touch audiobook processing, with robust error handling and the ability to scale effortlessly to meet the demands of our growing catalog.ABOUT YOUYou feel pride in every step forward, however big, or small; to you, each challenge represents a well-executed venture to support our listeners. If you’re looking to build on your skills and grow into a leader, this is your next step. We look for people who take responsibility, set their standards high and see every failure as an opportunity to learn. You’re looking for an environment where you can thrive. With opportunities to challenge yourself and a talented team by your side, you’ll find what you’re looking for at Audible.As a Software Development Engineer, you will...- Design, develop, and test software components and applications for a leading global provider of audiobooks- Collaborate on an agile engineering team, writing scalable and maintainable code and influencing team decisions- Collaborate with stakeholders to envision, design, develop, test, and launch customer-centric software solutions- Utilize technology to tackle challenging problems and deliver high-quality code on schedule- Demonstrate proficiency in a wide range of data structures and algorithms, applying them effectively- Independently clarify technical requirements, assess development estimates, and employ diverse design approaches- Conduct code reviews and provide constructive feedback to team members- Foster continuous improvement in software quality, customer experience, and product maintainability- Mentor and lead developers, fostering curiosity and deep technical understandingABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- Bachelor’s degree in Computer Science or related field, or equivalent experience- 2+ years of non-internship professional software development experience- Programming experience with one or more modern language (e.g., Java, C++, C#), including object-oriented design- 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current system- Experience writing clear, maintainable and extensible code ...

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEAs a Director, Software Development, you'll lead a high-performing team building innovative personalization systems that power content discovery and recommendation experiences across Audible's platforms. This position requires a leader with strong technical acumen in machine learning systems, recommendation systems proven people management experience, and the ability to drive technical strategy while delivering customer-focused personalization solutions.ABOUT THE TEAMThe Personalization team's mission is to help customers discover their next great listen by personalizing every interaction they have with Audible content. We develop scalable frameworks and systems that transform customer signals into meaningful insights, enabling personalized, contextual recommendations across our platforms. Our teams work with cutting-edge ML technologies and large-scale distributed systems to process billions of content interactions and deliver real-time personalized experiences.ABOUT YOUYou're a strategic technical leader who thrives on solving complex personalization problems at scale. You have deep experience building and leading engineering teams, with a strong foundation in recommendation systems and distributed computing. You're passionate about developing talent and creating an inclusive team culture that drives innovation. You demonstrate excellent judgment in balancing technical tradeoffs while maintaining unwavering focus on customer experience and business impact.As a Director, Software Development, you will...- Lead and grow a team of ML/software engineers building personalization and recommendation systems, providing technical mentorship and career development while fostering an inclusive environment- Own the technical strategy and roadmap for personalization systems that power discovery experiences across Audible platforms- Drive architectural decisions and technical excellence in building scalable recommendation pipelines and frameworks- Partner with product, science, and platform teams to define and execute on personalization initiatives- Establish and optimize development processes that enable rapid experimentation while maintaining high quality standards- Build mechanisms to measure and improve the customer impact of our recommendation systems- Lead hiring and development of diverse technical talent- Drive operational excellence in deploying and maintaining large-scale personalization systems- Influence cross-team technical decisions and contribute to broader organizational strategy- Champion best practices in ML engineering, including experimentation, testing, and monitoringABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- 7+ years of software engineering experience with 3+ years of people management experience- Experience building and operating large-scale ML/recommendation systems in production- Technical background in distributed systems, data processing, and ML infrastructure- Track record of delivering complex technical projects through effective team leadership- Bachelor's degree in Computer Science, Engineering or related field ...